The fast and simple way to access complex JSON data as tables



Perform JOINs and other queries using the SQL you know and love

Data visualization

Use Tableau, Looker, Power BI, Python or R via OBDC / JDBC

Machine learning and AI

Apply machine learning and AI easily and without data prep

The most complex data

The most complex JSON and MongoDB data magically transformed into insightful tables.

The latest data

Even as keys and array lengths vary analysts, reports, dashboards, models and alarms are kept up to date.

The most valuable data

REFORM accelerates your analytics by reducing heterogeneity at hyper-speed.

Patrik Berggren

Data Scientist at Gold Town Games AB

At Gold Town Games we have a complex and nested MongoDB which is not suited for analysis. All the different solutions that we tried failed. This includes Stitchdata, MongoDB BI Connector and more. We were going to try to build our own custom solution when we came across REFORM. Given our experience we approached REFORM with skepticism but to our surprise REFORM lives up its word and now we have a working analytic environment in Google BigQuery

Dixon Adair

VP of Operations at Qmenu, Inc

Simply put, if you want to enjoy the benefits of a NoSQL database architecture while still being able to perform any sort of data analysis, you have to check out REFORM! It enabled us to tabularize all our data. REFORM's interface is highly intuitive. It is useful even just to browse the way one’s data is organized. SlamData has produced exactly what one would want and expect of this category of software. A category they have clearly pioneered and continue to perfect!

Available via DockerHub and the AWS Marketplace

REFORM can be deployed into any environment and integrates easily with existing systems including authentication.

Works with all databases and data warehouses

REFORM works with all databases and data warehouses which support CSV ingest. MySQL, Postgres, Oracle, SQL Server, Snowflake, SQL Data Warehouse, Redshift, BigQuery, Athena and many more.